Publications led by our lab.

Amjad, M., Shin, Y.-H., Park, J.-M., Cho, W.-J., & Yeo, U.-H. (2025). Application of Water-Sensitive Paper for Spray Performance Evaluation in Aeroponics via a Segmentation-Based Algorithm. Applied Sciences, 15(20), 10928. https://doi.org/10.3390/app152010928(SCIE)
Amjad, M.; Arulmozhi, E.; Shin, Y.-H.; Kang, M.-K.; Cho, W.-J. (2025). A Review of IoT and Machine Learning for Environmental Optimization in Aeroponics. Agronomy, 15, 1627. https://doi.org/10.3390/agronomy15071627(SCIE)
Shin, Y.-H., Kim, I., Yang, M., Jang, Y.-K., Saludes, R. B., Kim, H.-J., & Cho, W.-J. (2025). Development of a Circular Nutrient Solution Management System Using a Cost Function. Agronomy, 15(1), 51. https://doi.org/10.3390/agronomy15010051 (SCIE)

Publications from collaborative research

Cho, W. J., Kim, D. W., Kim, H. J., Gang, M., Jung, D., Yang, S. H., & Park, S. H. (2024). Automated Drift Compensation System for Electrical Conductivity and pH Probes in Hydroponic Systems. Journal of the ASABE, 67(5), 1203-1215. (SCIE)
Cho, W.-J., Gang, M. S., Kim, D. W., Kim, J., Jung, D. H., & Kim, H. J. (2023). Decision-tree-based ion-specific dosing algorithm for enhancing closed hydroponic efficiency and reducing carbon emissions. Front Plant Sci, 14, 1301490. doi:10.3389/fpls.2023.1301490 (SCIE)
Cho, W.-J., & Yang, M. (2023). High-Throughput Plant Phenotyping System Using a Low-Cost Camera Network for Plant Factory. Agriculture, 13(10), 1874. https://www.mdpi.com/2077-0472/13/10/1874 (SCIE)
Cho, W.-J., Kim, H.-J., Jung, D.-H., Kim, D. W., Yi, Y. H., & Jang, G. J. (2022). Variable Rate Fertigation Control for Hydroponics using On-The-Go Transpiration Monitoring System. Journal of the ASABE, 65(3): 515-530. doi: 10.13031/ja.14832 (SCIE)
Yang, M. K., Yeom, M. S., & Cho, W.-J. (2022). Development of Real-Time Monitoring System for Nutrient Solution Salinity and Growth Status of Glehnia littoralis Fr. Schmidt ex Miq.. Journal of Agriculture & Life Science 56(2) 117-127. doi: https://doi.org/10.14397/jals.2022.56.2.117 (SCIE)
Cho, W.-J., Kim, H.-J., Jung, D.-H., Han, H.-J., & Cho, Y.-Y. (2019). Hybrid Signal-Processing Method Based on Neural Network for Prediction of NO3, K, Ca, and Mg Ions in Hydroponic Solutions Using an Array of Ion-Selective Electrodes. Sensors, 19(24), 5508. doi: 10.3390/s19245508 (SCIE)
Cho, W.-J., Kim, H.-J., Jung, D.-H., Kim, D.-W., Ahn, T. I., & Son, J.-E. (2018). On-site ion monitoring system for precision hydroponic nutrient management. Computers and Electronics in Agriculture, 146, 51-58. doi: 10.1016/j.compag.2018.01.019 (SCIE)
Cho, W. -J., Kim, H. J., Jung, D. H., Kang, C. I., Choi, G. L., & Son, J. E. (2017). An Embedded System for Automated Hydroponic Nutrient Solution Management. Transactions of the ASABE, 60(4), 1083-1096. doi:10.13031/trans.12163 (SCI)
Cho, W. -J., Kim, D.-W., Jung, D. H., Cho, S. S., & Kim, H.-J. (2016). An Automated Water Nitrate Monitoring System based on Ion-Selective Electrodes. Journal of Biosystems Engineering, 41(2), 75-84. (KCI)
Gang, M. S., Kim, H. J., Park, S. K., Cho, W. J., Kim, T., Ahn, T. I., ... & Hwang, K. S. (2025). Plant-specific crop evapotranspiration estimation system for greenhouse tomatoes using convolutional neural network and rail-based monitoring device. Computers and Electronics in Agriculture, 239, 111079. (SCIE)
Gang, M. S., Kim, H. J., Ahn, T. I., Cho, W. J., Lee, S. H., Lee, J. Y., & Hwang, J. E. (2025). Development of nutrient management system based on ion-equivalent concentration ratio and ion monitoring to maintain ionic balance in closed hydroponic solution. Computers and Electronics in Agriculture, 237, 110588. (SCIE)
Shin, J., Kim, D. C., Cho, Y., Yang, M., & Cho, W. J. (2024). A Preprocessing Technique Using Diffuse Reflectance Spectroscopy to Predict the Soil Properties of Paddy Fields in Korea. Applied Sciences, 14(11), 4673. (SCIE)
Jeon, Y. J., Kim, J. Y., Hwang, K. S., Cho, W. J., Kim, H. J., & Jung, D. H. (2024). Machine Learning-Powered Forecasting of Climate Conditions in Smart Greenhouse Containing Netted Melons. Agronomy, 14(5), 1070. (SCIE)
Kim, J., Kim, H.-J., Gang, M.-S., Kim, D.-W., Cho, W.-J., & Jang, J. K. (2023). Closed Hydroponic Nutrient Solution Management Using Multiple Water Sources. J. Biosyst. Eng., 1-10. doi: 10.1007/s42853-023-00182-0 (SCOPUS)
Yun, H., Kim, H.-J., Cho, W.-J., Kim, H.-S., & Lim, S.-J. (2020). Development of an in situ Dead Leaf Weight Monitoring System. Precision Agriculture Science and Technology, 2(3), 181-188. doi: 10.12972/pastj.20200022
Han, H.-J., Kim, H.-J., Jung, D.-H., Cho, W.-J., Cho, Y.-Y., & Lee, G.-I. (2020). Real-time nutrient monitoring of hydroponic solutions using an ion-selective electrode-based embedded system. Protected Horticulture and Plant Factory, 29(2), 141-152. doi: 10.12791/KSBEC.2020.29.2.141 (KCI)
Jung, D.-H., Kim, H.-J., Cho, W.-J., Park, S. H., & Yang, S.-H. (2019). Validation testing of an ion-specific sensing and control system for precision hydroponic macronutrient management. Computers and Electronics in Agriculture, 156, 660-668. doi:https://doi.org/10.1016/j.compag.2018.12.025 (SCIE)
Jiang, J.-S., Kim, H.-J., & Cho, W.-J. (2018). On-the-go image processing system for spatial mapping of lettuce fresh weight in plant factory. IFAC-PapersOnLine, 51(17), 130-134. (SCOPUS)
Kim, D.-W., Jung, D.-H., Cho, W.-J., Sim, K.-C., & Kim, H.-J. (2017). On-site water nitrate monitoring system based on automatic sampling and direct measurement with ion-selective electrodes. Journal of Biosystems Engineering, 42(4), 350-357. (KCI)
Kim, H.-J., Kim, D. W., Kim, W. K., Cho, W.-J., & Kang, C. I. (2017). PVC membrane-based portable ion analyzer for hydroponic and water monitoring. Computers and Electronics in Agriculture, 140, 374-385. doi:10.1016/j.compag.2017.06.015 (SCIE)

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